DataOps Analyst
Houlihan Lokey·New York·United States·Operations
Houlihan Lokey is hiring a DataOps Analyst in New York. Posted 2026-08-25; applications close 2026-10-24 (in 49 days).
Role details
Overview
Houlihan Lokey, Inc. (NYSE:HLI) is a leading global investment bank recognized for delivering independent strategic and financial advice to corporations, financial sponsors, and governments. With uniquely deep industry expertise, broad international reach, and a partnership approach rooted in trust, the firm provides innovative, integrated solutions across mergers and acquisitions, capital solutions, financial restructuring, and financial and valuation advisory. Its transaction volumes provide differentiated, data-driven perspectives that help clients achieve their most critical goals.
Scope
The Data Operations Analyst is responsible for establishing and enforcing enterprise-wide data standards and processes. This strategic role ensures data is accurate, consistent, secure, and accessible to authorized users. You will lead initiatives to improve data quality, implement data governance frameworks, and manage the complete data lifecycle. You will partner with business leaders and technology teams to maximize the value and trustworthiness of data assets.
Responsibilities
- Ongoing Data Management: Monitor and manage Data Operations pipelines, with a focus on cleansing and reviewing corporate structures and company-level data.
- Incident Management & Resolution: Lead responses to data-related user questions, from initial triage to root cause analysis and post-mortem. Define and/or implement preventative measures to minimize future issues.
- Knowledge Development: Leverage and build understanding of company-level data and how the firm captures, cleans, and uses it to support process improvement and answer internal queries.
- Operational Excellence: Drive automation of operational tasks, including process/system deployments and data validation.
- Collaboration & Support: Partner with Banker Success, Product, and Engineering teams to ensure operational requirements are met. Serve as a key escalation point for data-related issues.
- Process Improvement & Strategy: Identify opportunities for improvement across the business and partner with other groups to enhance reliability and efficiency of internal processes.
- Management of legacy processes: Manage legacy processes as needed.
Basic Qualifications
- 1–3 years of industry experience, with a preference for operational and/or research roles.
Preferred Qualifications
- Strong financial and computer skills.
- Demonstrated ability to work cooperatively with all levels of staff.
- Strong analytical capabilities and excellent verbal and written communication skills.
- A strong interest in operations, investment banking, accounting, or consulting experience is preferred.
Compensation and Benefits
Houlihan Lokey is committed to providing employees with a competitive total compensation package, which may include other components such as discretionary incentive compensation. The firm’s good faith and reasonable estimate of the possible salary range for this role at the time of posting is: $80,000–$100,000.
Actual salary at the time of hire may vary and may be above or below the range based on various factors, including relevant qualifications, skills, and experience, and the location where the position may be filled.
Houlihan Lokey provides a competitive benefits package. Current benefits offerings can be found here: 2026 Benefits.
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Applying to this role
This DataOps Analyst role at Houlihan Lokey runs through the firm's own careers portal and expects a CV and cover letter written specifically for the posting, not a portable submission carried across firms. Jorb AI's application agent tailors a CV and cover letter from your background to this posting and tracks the role alongside the rest of your applications.
Jorb AI tracks details for DataOps Analyst at Houlihan Lokey. Postings refresh hourly from primary careers pages. Job details mirror the firm's posting; the apply link goes directly to the source. Last refreshed 2026-09-04.
